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Title |
Saudi researchers apply distributionally robust optimization to wind, solar project siting |
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Detail |
Saudi scientists created a new deep learning technique based on distributionally robust optimization (DRO) to identify the most suitable locations for utility scale wind and solar power projects. They applied the model to Saudi Arabia and found it provides ‘more realistic’ results than deterministic or robust models.
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Country | ||||
Source | PV-Magazine | |||
Regions | Africa Asia Australia Europe North America Oceania South America | |||
Sectors | Automobiles and Auto Parts Non-Renewable Energy Solar Photovoltaic PV Energy Defence and Security Construction Energy-Power and Electrical Computer Hardwares and Consumables Petroleum Products Marine | |||
Published Date | 21.08.2023 | |||
Original Url | Original Url | |||
Share |
Title |
---|
Saudi researchers apply distributionally robust optimization to wind, solar project siting
|
Detail |
Saudi scientists created a new deep learning technique based on distributionally robust optimization (DRO) to identify the most suitable locations for utility scale wind and solar power projects. They applied the model to Saudi Arabia and found it provides ‘more realistic’ results than deterministic or robust models. |
Country |
International
|
Source |
PV-Magazine |
Regions |
Africa Asia Australia Europe North America Oceania South America |
Sectors |
Automobiles and Auto Parts Non-Renewable Energy Solar Photovoltaic PV Energy Defence and Security Construction Energy-Power and Electrical Computer Hardwares and Consumables Petroleum Products Marine |
Published Date |
21.08.2023 |
Original Url |
Share |
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